Siemens Energy

A Snapshot of Your Day 

As an experienced Professional member of our Digital Core organization, you contribute to the Predictive Analytics team by developing and applying data‑driven and AI‑based methods to support improved decision‑making across the Siemens Energy value chain. You work hands‑on with industrial time‑series data, combining solid analytical foundations with modern AI techniques to identify patterns, anomalies, and insights in complex systems.

In close collaboration with senior experts, business stakeholders, and external partners (including academia), you support the development and deployment of analytics solutions that bridge rigorous analytical thinking with tangible business impact.

Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Digital Core AI team plays a significant role in driving the energy transformation. Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone.

Our team is looking for curious, analytically strong early‑career data and AI experienced professionals who enjoy working at the intersection of theory and real‑world industrial applications.

How You’ll Make an Impact 

• Apply data analytics, statistical methods, and AI techniques to analyze complex industrial time‑series data. Support the development, testing, and validation of Predictive Analytics and AI models under guidance of senior team members
• Contribute to use cases such as anomaly detection, condition monitoring, forecasting, and root‑cause analysis in operational data
• Work with domain experts and business stakeholders to translate technical and business questions into structured analytical tasks
• Balance academic rigor (sound methods, validation, documentation) with a strong focus on practical impact and scalability
• Assist in documenting methodologies, results, and best practices to enable reuse across projects and teams. Collaborate with internal teams and external partners from industry and academia on analytics and AI initiatives

What You Bring 

• Master’s degree in data science, computer science, physics, mathematics, engineering, or a related quantitative field; PhD is a plus
• Strong foundation in data analytics, statistics, and machine learning. Relevant business experience or strong academic background in time‑series analysis, including feature engineering using autoregressive techniques and advanced machine‑learning and deep‑learning approaches for real‑world data.
• 2+ years of Hands‑on experience with programming languages and tools for data analysis and AI (e.g., Python, R, JavaScript and TypeScript, SQL, TensorFlow, PyTorch)
• Ability to structure analytical problems, work with large and complex datasets, and communicate results clearly. Intellectual curiosity, motivation to learn, and ability to work effectively in a multidisciplinary, global team environment
• Applicants must be legally authorized for employment in the United States without need for current or future employer‑sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

About the Team

The Digital Core AI organization has been established and designed to help Siemens Energy achieve its mission by leveraging powerful AI capabilities to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: [1] https://www.siemens-energy.com/employeevideo

Rewards

• Career growth and development opportunities; supportive work culture
• Company paid Health and wellness benefits
• Paid Time Off and paid holidays
• 401K savings plan with company match
• Family building benefits
• Parental leave

#LI-CDS